Information transmission methods, communication node and storage medium

Abstract

Disclosed in the present application are information transmission methods, a communication node and a storage medium. A method comprises: when a prediction condition is satisfied, performing transmission of a first message with a second communication node (201), wherein the first message is used for indicating that a prediction result is determined on the basis of an actual measurement result of the second communication node; and receiving the actual measurement result and the prediction result that are sent by the second communication node (202), wherein the second communication node has a prediction function.

Description

Information transmission methods, communication nodes and storage media Technical Field

[0001] This application relates to the field of communication technology, such as an information transmission method, a communication node, and a storage medium. Background Technology

[0002] To ensure the continuity of wireless communication, terminal devices can switch between different cells.

[0003] In related technologies, handover is implemented through a Layer 3 (L3) handover mechanism. Under the L3 handover mechanism, handover triggering and execution are based on historical measurement results and / or measurement events reported by the terminal device. This handover mechanism is essentially a reactive approach. For macrocell services, this handover mechanism may function well when terminal device mobility is low. However, in existing or future services, such as Extended Reality (XR), when terminal device mobility is high, located between high-density microcells, or both, this reactive approach may lead to more unexpected events, such as handover failure, radio link failure, ping-pong effect, throughput loss, or premature / late handover. Summary of the Invention

[0004] This application provides an information transmission method applied to a first communication node, the method comprising:

[0005] In response to determining that the prediction conditions are met, a first message is transmitted to the second communication node; wherein the first message is used to indicate that the prediction result is determined based on the actual measurement results of the second communication node;

[0006] The system receives the actual measurement results and the prediction results sent by the second communication node; wherein the second communication node has a prediction function.

[0007] This application provides an information transmission method applied to a second communication node, the method comprising:

[0008] In response to determining that the prediction conditions are met, a first message is transmitted to the first communication node; wherein the first message is used to indicate that the prediction result is determined based on the actual measurement results of the second communication node;

[0009] The prediction result is determined based on the actual measurement results; wherein the second communication node has the prediction function.

[0010] The actual measurement results and the prediction results are sent to the first communication node.

[0011] This application provides a communication node, including a processor; the processor is used to implement the information transmission method of any of the above embodiments when executing a computer program.

[0012] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the information transmission method of any of the above embodiments.

[0013] Further details regarding the above embodiments and other aspects of this application, as well as their implementations, are provided in the accompanying drawings, detailed description, and claims. Attached Figure Description

[0014] Figure 1 is a network diagram of a wireless communication system according to an embodiment;

[0015] Figure 2 is a flowchart illustrating an information transmission method according to an embodiment;

[0016] Figure 3 is a schematic diagram of cell-level measurement results and beam-level measurement results;

[0017] Figure 4 is a schematic diagram of the prediction process provided in one embodiment;

[0018] Figure 5 is a schematic diagram of the measurement process with sliding L1 / L3 filtering options provided in one embodiment;

[0019] Figure 6 is a schematic diagram of a measurement process with non-sliding L1 / L3 filtering options provided in one embodiment;

[0020] Figure 7 is a schematic diagram of an observation window and a prediction window provided in one embodiment;

[0021] Figure 8 is a schematic diagram of another observation window and prediction window provided in one embodiment;

[0022] Figure 9 is a schematic diagram of another observation window and prediction window provided in one embodiment;

[0023] Figure 10 is a schematic diagram of a measurement cell and a predicted cell provided in an embodiment;

[0024] Figure 11 is a schematic diagram of beam measurement in related technologies;

[0025] Figure 12 is a schematic diagram of a measurement set and a prediction set provided in an embodiment;

[0026] Figure 13 is a flowchart illustrating another information transmission method provided in one embodiment;

[0027] Figure 14 is a schematic diagram of the structure of an information transmission device according to an embodiment;

[0028] Figure 15 is a schematic diagram of the structure of another information transmission device provided in one embodiment;

[0029] Figure 16 is a schematic diagram of a first communication node provided in an embodiment;

[0030] Figure 17 is a schematic diagram of a second communication node provided in one embodiment. Detailed Implementation

[0031] It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. The embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0032] To enhance handover robustness, 3GPP introduced conditional handover in Release (Rel)-16; and to reduce downtime caused by frequent handovers between cells, Rel-18 introduced Layer 1 / Layer 2 Triggered Mobility Handover (LTM). However, these two mechanisms are not sufficient, as they are essentially still reactive schemes.

[0033] This embodiment provides an information transmission method. When prediction conditions are met, a first communication node transmits a first message to a second communication node. This first message indicates that a prediction result is determined based on the actual measurement results of the second communication node. When the second communication node has prediction capabilities, it receives the actual measurement results and the prediction result sent by the second communication node. On the one hand, this achieves the acquisition of prediction results determined based on actual measurement results. Consequently, better decisions can be made based on the prediction results to avoid unexpected events. Compared to reactive solutions, the proactive solution in this embodiment avoids unexpected events during the handover process, improves handover performance, and enhances communication reliability. On the other hand, by transmitting the first message only when the prediction conditions are met, the validity of the acquired prediction results is guaranteed, further avoiding unexpected events.

[0034] The information transmission method provided in this application can be applied to various wireless communication systems, such as Long Term Evolution (LTE) systems (i.e., 4th-Generation (4G) systems), New Radio (NR) systems (i.e., 5th-Generation (5G) systems), LTE and NR hybrid architecture systems, and new communication systems emerging in future communication development (such as 6th-Generation (6G) systems). Figure 1 is a network diagram of a wireless communication system provided in an embodiment. As shown in Figure 1, the wireless communication system includes a terminal device 110, an access network device 120, and a core network device 130.

[0035] Terminal device 110 can be a device with wireless transceiver capabilities, which can be deployed on land (such as indoors or outdoors, handheld, wearable or vehicle-mounted); on water (such as ships); or in the air (such as airplanes, balloons and satellites). Examples of terminal devices 110 include: passive terminals, user equipment (UE), mobile phones, mobile stations, tablets, laptops, ultra-mobile personal computers (UMPCs), handheld computers, netbooks, personal digital assistants (PDAs), and other network-connected user equipment; virtual reality (VR) terminals, augmented reality (AR) terminals, wireless terminals in industrial control, wireless terminals in self-driving, wireless terminals in remote healthcare, wireless terminals in smart grids, wireless terminals in transportation safety, wireless terminals in smart cities, wireless terminals in smart homes, etc.; IoT nodes; in-vehicle communication devices in vehicle-to-everything (V2X) networks; entertainment and gaming devices or systems; and GPS devices, etc. The embodiments of this application do not limit the specific technologies or device forms used in the terminal devices. Furthermore, the term "terminal device" can be abbreviated as "terminal."

[0036] Access network equipment 120 is the access device through which terminal equipment 110 wirelessly accesses the wireless communication system. It can be a base station, an evolved NodeB (eNB or eNodeB) in Long Term Evolution Advanced (LTE-A), a Transmission Reception Point (TRP), a base station or Next Generation NodeB (gNB) in a 5G mobile communication system, a base station in a future mobile communication system, or an access node in a Wireless Fidelity (WiFi) system. Base stations can include various macro base stations, micro base stations, femtocell base stations, remote wireless units, routers, WiFi devices, or various network-side devices such as primary cells (PCells) and secondary cells (SCells), as well as location management function (LMF) devices. It can also be a module or unit that performs some of the functions of a base station; for example, it can be a central unit (CU) or a distributed unit (DU). The embodiments of this application do not limit the specific technology or equipment form used in the access network equipment. In addition, the access network equipment can be referred to as a base station.

[0037] Core network equipment 130 may include access and mobility management network elements and session management network elements. For example, terminal equipment 110 can access the core network through access network equipment 120 to achieve data transmission.

[0038] The information transmission method, communication node, and their technical effects provided in this application are described below.

[0039] Figure 2 is a flowchart illustrating an information transmission method according to an embodiment. The information transmission method provided in this embodiment can be applied to a first communication node. The first communication node in this embodiment can be the access network device shown in Figure 1. As shown in Figure 2, the information transmission method provided in this embodiment includes the following steps.

[0040] Step 201: When the prediction conditions are met, transmit the first message to the second communication node.

[0041] The first message is used to indicate that the prediction result is determined based on the actual measurement results of the second communication node.

[0042] In this embodiment, the second communication node can be the terminal device shown in Figure 1. The prediction conditions in this embodiment are used to characterize the reliability of the actual measurement results of the second communication node. Therefore, when the prediction conditions are met, the prediction result can be determined based on the actual measurement results of the second communication node.

[0043] Optionally, the prediction conditions in this embodiment are used to characterize at least one of the following: the conditions that the current channel should meet; the movement range of the second communication node; environmental conditions, such as network deployment density, indoor or outdoor scenarios, etc.

[0044] Optionally, transmitting the first message with the second communication node may include sending the first message to the second communication node. In this scenario, the first communication node determines to send the first message to the second communication node when the prediction conditions are met.

[0045] Optionally, transmitting the first message with the second communication node may include: receiving the first message sent by the second communication node. In this scenario, the second communication node determines that when the prediction conditions are met, it sends the first message to the first communication node.

[0046] Optionally, the first message in this embodiment is also used to indicate that the prediction result can be used for subsequent operations. Subsequent operations in this embodiment can include cell handover or similar operations.

[0047] Step 202: Receive the actual measurement results and prediction results sent by the second communication node.

[0048] The second communication node has a prediction function.

[0049] In the first scenario, in step 202, the second communication node has a prediction function. Therefore, after receiving the first message, the second communication node can determine the prediction result based on the actual measurement result. The first communication node receives the actual measurement result and the prediction result sent by the second communication node. In this scenario, the first communication node may or may not have a prediction function.

[0050] In the second scenario, the second communication node lacks prediction capabilities, while the first communication node possesses them. In this scenario, after step 201, the information transmission method provided in this embodiment further includes: receiving the actual measurement results sent by the second communication node; and determining the prediction result based on the actual measurement results. This scenario allows for determining the prediction result based on the actual measurement results even when the second communication node lacks prediction capabilities, thereby avoiding unexpected events during the handover process and improving handover performance.

[0051] Optionally, in this embodiment, the process of determining the prediction result based on the actual measurement result can be implemented based on the prediction model. That is, the prediction function in this embodiment can be provided by the prediction model.

[0052] Optionally, the prediction model in this embodiment can be an artificial intelligence (AI) model, such as a machine learning (ML) model. Optionally, the prediction model in this embodiment can be a prediction algorithm based on statistics or data analysis. This embodiment does not limit the specific implementation of the prediction model.

[0053] The prediction process in this embodiment may include at least one of the following: temporal domain prediction, frequency domain prediction, and spatial domain prediction.

[0054] In this embodiment, time-domain prediction refers to using the actual measurement results of the second communication node in the serving cell or neighboring cells to infer the prediction result of the same cell at a certain time in the future, or using the actual measurement results of the second communication node in the serving beam to infer the prediction result of the same beam at a certain time in the future.

[0055] In this embodiment, frequency domain prediction refers to determining the predicted frequency of the second frequency of the predicted cell between frequencies using the actual measurement results of the second communication node at the first frequency of the measurement cell, or determining the predicted frequency of the second frequency of the predicted beam between frequencies using the actual measurement results of the second communication node at the first frequency of the measurement beam. The first frequency and the second frequency are different.

[0056] In this embodiment, spatial domain prediction refers to predicting a set of neighboring beams or cells by measuring a smaller set of beams or cells.

[0057] Based on the location of the prediction model, the prediction models in this embodiment can be divided into one-sided models and two-sided models. A one-sided model refers to either the prediction model of the first communication node (network-side model, NW side model) or the prediction model of the second communication node (terminal-side model, UE side model). A two-sided model refers to both the prediction models of the first and second communication nodes. It can be understood that in this embodiment, the NW side model corresponds to a scenario where the first communication node has prediction capabilities but the second communication node does not, and the UE side model corresponds to a scenario where the second communication node has prediction capabilities but the first communication node does not.

[0058] Optionally, the prediction process in this embodiment can achieve both cell-level and beam-level prediction. The actual measurement results in this embodiment can be cell-level or beam-level measurement results; correspondingly, the prediction results in this embodiment can also be cell-level or beam-level prediction results.

[0059] Figure 3 is a schematic diagram of cell-level and beam-level measurement results. As shown in Figure 3, A represents the original beam-level measurement result. 1 This indicates the L1 beam level measurement result after L1 filtering. B indicates the result from A after combining Radio Resource Control (RRC) configuration parameters. 1 The L1 beam-level measurement results are selected and / or merged. C represents the L3 cell-level measurement results after L3 cell quality filtering. D represents the results based on C and C. 1 The determined operation information. C 1 This indicates rule information. E represents the L3 beam level measurement result after L3 beam filtering. F represents selecting X L3 beam level measurement results from K L3 beam level measurement results for reporting.

[0060] Figure 4 is a schematic diagram of the prediction process provided in one embodiment. As shown in Figure 4, the prediction process in this embodiment can be divided into the following three cases.

[0061] In the first scenario, the L1 beam-level measurement results are input into the prediction model to obtain the L1 beam-level prediction results output by the prediction model. Then, the prediction results are integrated (e.g., weighted average) to obtain the L3 cell-level prediction results. Alternatively, the L1 beam-level measurement results are input into the prediction model to obtain the L1 beam-level prediction results output by the prediction model. Then, the prediction results are integrated to obtain the L3 beam-level prediction results.

[0062] In the second scenario, the L1 beam-level measurement results are input into the prediction model to obtain the L3 cell-level prediction results output by the prediction model. Alternatively, the L1 beam-level measurement results are input into the prediction model to obtain the L3 beam-level prediction results output by the prediction model.

[0063] In the third scenario, the actual L3 cell-level measurement results are input into the prediction model to obtain the L3 cell-level prediction results output by the prediction model. Alternatively, the actual L3 beam-level measurement results are input into the prediction model to obtain the L3 beam-level prediction results output by the prediction model.

[0064] It should be noted that, in scenarios where the second communication node has prediction capabilities, the second communication node can determine the prediction result based on at least one of the three scenarios shown in Figure 4, according to the actual measurement results. In scenarios where the first communication node has prediction capabilities, the first communication node can determine the prediction result based on at least one of the three scenarios shown in Figure 4, according to the actual measurement results.

[0065] Optionally, when the prediction conditions are not met, a second message is transmitted to the second communication node. This second message indicates that the prediction result is not determined based on the actual measurement results of the second communication node; that is, the second communication node performs actual measurements and obtains the actual measurement results. The actual measurement results sent by the second communication node are then received. This implementation instructs the second communication node to perform actual measurements when the prediction conditions are not met, avoiding the situation where prediction is made even when the conditions are not met. Transmitting the second message to the second communication node can include either sending the second message to the second communication node or receiving the second message sent by the second communication node.

[0066] The information transmission method provided in this embodiment can determine the prediction result based on the actual measurement result of the second communication node when the prediction conditions are met. This allows for proactive measures to make better decisions or avoid unexpected events, thereby improving handover and Radio Resource Management (RRM) performance and preventing unexpected events such as radio link failure, brief pauses, and handover failures.

[0067] This embodiment provides an information transmission method. When prediction conditions are met, a first communication node transmits a first message to a second communication node. This first message indicates that a prediction result is determined based on the actual measurement results of the second communication node. When the second communication node has prediction capabilities, it receives the actual measurement results and the prediction result sent by the second communication node. On the one hand, this achieves the acquisition of prediction results determined based on actual measurement results. Consequently, better decisions can be made based on the prediction results to avoid unexpected events. Compared to reactive solutions, the proactive solution in this embodiment avoids unexpected events during the handover process, improves handover performance, and enhances communication reliability. On the other hand, by transmitting the first message only when the prediction conditions are met, the validity of the acquired prediction results is guaranteed, further avoiding unexpected events.

[0068] The following describes in detail the information transmission method provided in this embodiment from three implementation methods: time domain prediction, frequency domain prediction, and spatial domain prediction.

[0069] In time-domain prediction, scenarios A1 and B1 are categorized based on whether the measurements of the second communication node are reduced. Throughout the measurement inference process, the sampling period (with sliding L1 / L3 filtering options) or the measurement period (with non-sliding L1 / L3 filtering options) slides forward.

[0070] Figure 5 is a schematic diagram of a measurement process with sliding L1 / L3 filtering options provided in one embodiment. As shown in Figure 5, in this measurement process, the sampling period is equal to the measurement period. The circles in the first row represent L1 measurement samples. In this embodiment, the measurement sample represents the smallest unit of measurement. The duration between the two circles in the first row represents the sampling period. The circles in the second row represent the L1-filtered measurement result. The measurement result in Figure 5 is characterized by Reference Signal Received Power (RSRP). Multiple measurement samples generate one measurement result. Figure 5 illustrates this using an example of five measurement samples yielding one measurement result. The circles in the third row represent the L3-filtered RSRP. At least one L1-filtered RSRP will yield an L3-filtered RSRP. Figure 5 illustrates this using an example of one L1-filtered RSRP yielding one L3-filtered RSRP. Based on the description of the above embodiment, it can be seen that the L1-filtered RSRP in Figure 5 can be an L1-filtered beam-level RSRP, and the L3-filtered RSRP can be either an L3-filtered beam-level RSRP or an L3-filtered cell-level RSRP.

[0071] The measurement process in Figure 5 slides forward for each measurement sample. That is, based on measurement samples 00 to 04, the L1-filtered RSRP 04 is obtained; based on measurement samples 01 to 05, the L1-filtered RSRP 05 is obtained; and so on.

[0072] Figure 6 is a schematic diagram of a measurement process with non-sliding L1 / L3 filtering options provided in one embodiment. The meanings of the circles in each row of Figure 6 are similar to those in Figure 5, and will not be repeated here. The sampling period and the measurement period are different in Figure 6. In the example of Figure 6, 5 sampling periods equal 1 measurement period. The measurement process in Figure 6 does not slide forward according to each measurement sample, but performs measurements at intervals of 5 measurement samples. That is, based on measurement samples 00 to 04, the L1-filtered RSRP 04 is obtained; based on measurement samples 05 to 09, the L1-filtered RSRP 09 is obtained, and so on.

[0073] In the time-domain prediction scenario, an observation window (OW) and a prediction window (PW) are provided. Continuous prediction results in the PW are derived from continuous actual measurement results in the OW. The observation window contains historical actual measurement results; based on these results, the first or second communication node infers the results in subsequent prediction windows. In other words, actual measurement results are located in the observation window, prediction results are located in the prediction window, and the prediction window follows the observation window. In this embodiment, the actual measurement results can be the L1-filtered RSRP or the L3-filtered RSRP shown in Figure 5 or Figure 6.

[0074] During time-domain prediction, changes in conditions such as the wireless channel can affect the accuracy of the prediction results, consequently impacting subsequent cell handover and other decision-making. Therefore, to further ensure the accuracy of the prediction results meets practical requirements, the prediction conditions in this embodiment include at least one of the following: the change in the current channel state is less than the channel state change threshold; the current channel state is stable. The channel state in this embodiment can be characterized by RSRP or Signal-to-Noise Ratio (SNR). The stable current channel state in this embodiment can also be described as a good current channel state.

[0075] Furthermore, to further ensure the accuracy of the prediction results, the prediction conditions in this embodiment include at least one of the following: the change in the current channel state is less than the channel state change threshold, and the second communication node is within the movement range; the current channel state is stable, and the second communication node is within the movement range. The movement range in this embodiment can be the movement range corresponding to the actual measurement results. Correspondingly, the prediction conditions are determined not to be met when at least one of the following is satisfied: the change in the current channel state is greater than or equal to the channel state change threshold, the second communication node is not within the movement range, or the current channel state is unstable.

[0076] In time-domain prediction, the actual measurement results are beam-level measurement results and / or cell-level measurement results, and the prediction results are beam-level prediction results and / or cell-level prediction results.

[0077] In scenario A1 of time-domain prediction, the second communication node does not skip any measurements. Measurement instances in subsequent prediction windows are included in the observation window and are actually measured. Measurement instances in this embodiment can also be called measurement occcasions. Figure 7 is a schematic diagram of an observation window and prediction window provided in one embodiment. As shown in Figure 7, the time interval between two squares represents the sampling period or measurement period. A black square represents an actual measurement result, and a white square represents a prediction result. In Figure 7, as time progresses, the white square turns into a black square, indicating that the measurement instance in the prediction window has been actually measured.

[0078] In scenario A1 of time-domain prediction, at least one of the following methods can be used to ensure the accuracy of the prediction results: Method 1, real-time monitoring of the first communication node; Method 2, configuration of the first communication node; Method 3, autonomous control of the second communication node.

[0079] For Method 1, the first communication node monitors the current channel conditions in real time. For example, it monitors the current channel conditions using uplink and downlink channel reciprocity (obtaining the uplink channel conditions based on the information reported by the second communication node, and then inferring the downlink channel state). If the prediction conditions are met, i.e., at least one of the following is met: the change in the current channel state is less than the channel state change threshold, or the current channel state is good / stable, the first communication node sends a first message to the second communication node to indicate that the prediction result is determined based on the actual measurement results of the second communication node and to indicate that the prediction result can be used for subsequent operations. If the prediction conditions are not met, i.e., the change in the current channel state is greater than or equal to the channel state change threshold, or the current channel state is poor / unstable, the first communication node sends a second message to the second communication node to indicate that no measurement inference is performed.

[0080] In Method 1, the first message is a first indication message. The first indication message carries any of the following: RRC signaling, Media Access Control Control Element (MAC CE), Downlink Control Information (DCI), or capability information of the second communication node. The second message can be a fourth indication message. The fourth indication message carries any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node.

[0081] The following sections describe the methods for carrying the first and fourth instruction messages in Method 1.

[0082] In the way of RRC signaling bearer, according to the requirements of the Abstract Syntax Notation One (ASN.1) protocol, design an RRC signaling for downlink message transmission, which can be named RRC_BS_AI_Available. Its value is of boolean type, that is, RRC_BS_AI_Available = Boolean{true, false}.

[0083] If the current channel state change amount is less than the channel state change threshold and / or the current channel state is stable, the first communication node sends the signaling RRC_BS_AI_Available = TRUE (equivalent to the first indication message) to the second communication node, indicating that the prediction result can be determined based on the actual measurement result currently. If the second communication node has a prediction function (i.e., the scenario of UE side model), the second communication node needs to determine the prediction result in the PW according to the actual measurement result in the OW, and send the actual measurement result and the prediction result to the first communication node. If the second communication node does not have a prediction function and the first communication node has a prediction function (i.e., the scenario of NW side model), the second communication node sends the actual measurement result to the first communication node, and the first communication node receives the actual measurement result sent by the second communication node, and then the first communication node determines the prediction result according to the actual measurement result.

[0084] If the current channel state change amount is greater than or equal to the channel state change threshold (such as |SNR at prediction time - SNR at measurement time| > Y dB) and / or the current channel state is poor / unstable (such as SNR < X dB), it is not allowed to make a prediction based on the actual measurement result. The first communication node sends the signaling RRC_BS_AI_Available = FALSE (equivalent to the fourth indication message) to the second communication node. In this case, there is no need to distinguish between NW side model or UE side model. The second communication node needs to perform actual measurements on all measurement opportunities in the prediction window, and report all actual measurement results to the first communication node after the measurement is completed for the next decision-making.

[0085] In the way of MAC CE bearer, design a new MAC CE or use the reserved area of the existing MAC CE, and use a preset bit, for example, 1 bit to carry the first indication message or the fourth indication message. This message can be named "AI_Available_indication".

[0086] If the current channel state change amount is less than the channel state change threshold and / or the current channel state is stable, the first communication node sends AI_Available_indication = 0 (equivalent to the first indication message) to the second communication node, indicating that the prediction result can be determined based on the actual measurement results currently. If the second communication node has a prediction function (i.e., the scenario of UE side model), the second communication node needs to determine the prediction result in the PW according to the actual measurement results in the OW, and send the actual measurement results and the prediction result to the first communication node. If the second communication node does not have a prediction function and the first communication node has a prediction function (i.e., the scenario of NW side model), the second communication node sends the actual measurement results to the first communication node, and the first communication node receives the actual measurement results sent by the second communication node. Subsequently, the first communication node determines the prediction result according to the actual measurement results.

[0087] If the current channel state change amount is greater than or equal to the channel state change threshold (such as |SNR at the prediction moment - SNR at the measurement moment| > Y dB) and / or the current channel state is poor / unstable (such as SNR < X dB), at this time, it is not allowed to predict based on the actual measurement results. The first communication node sends AI_Available_indication = 1 (equivalent to the fourth indication message) to the second communication node. In this case, there is no need to distinguish between the NW side model or the UE side model. The second communication node needs to perform actual measurements on all measurement opportunities in the prediction window, and report all the actual measurement results to the first communication node after the measurement for the next decision-making.

[0088] In the DCI bearing mode, the first communication node can send the first indication message (named AI_Available_ON) or the fourth indication message (AI_Available_OFF) to the second communication node through the DCI carried on the downlink control channel or the downlink data channel, to indicate whether the prediction condition is currently met and whether the prediction result can be determined based on the actual measurement results. The specific application details are similar to the RRC signaling bearing mode and will not be elaborated here.

[0089] In the mode of bearing the capability information of the second communication node, a second communication node capability information (Capability) is designed, which can be named measurewithavailableAI and the type is optional (Optional). The first communication node decides whether to configure this capability for the second communication node according to whether the prediction condition is met.

[0090] If the change amount of the current channel state is less than the channel state change threshold and / or the current channel state is stable, the first communication node configures measurewithavailableAI (equivalent to the first indication message) for the second communication node, indicating that the prediction result can be determined based on the actual measurement result currently. If the second communication node has a prediction function (i.e., the scenario of UE side model), the second communication node needs to determine the prediction result in the PW according to the actual measurement result in the OW and send the actual measurement result and the prediction result to the first communication node. If the second communication node does not have a prediction function and the first communication node has a prediction function (i.e., the scenario of NW side model), the second communication node sends the actual measurement result to the first communication node, and the first communication node receives the actual measurement result sent by the second communication node. Subsequently, the first communication node determines the prediction result according to the actual measurement result.

[0091] If the change amount of the current channel state is greater than or equal to the channel state change threshold (such as |SNR at the prediction time - SNR at the measurement time| > Y dB) and / or the current channel state is poor / unstable (such as SNR < X dB), at this time, it is not allowed to make a prediction based on the actual measurement result, and the first communication node will not configure measurewithavailableAI (equivalent to the fourth indication message) for the second communication node. In this case, there is no need to distinguish between NW side model or UE side model. The second communication node needs to perform actual measurements on all measurement opportunities in the prediction window, and after the measurement is completed, report all the actual measurement results to the first communication node for the next decision.

[0092] For Method 2, the first communication node can configure the first message or the second message according to the current channel condition and other environmental conditions (such as network deployment density, indoor or outdoor scenario, etc.) and send the first message or the second message to the second communication node. In Method 2, the first message is the length information of the prediction window, which can be named "PW_LENGTH_INF". The length information of the prediction window is carried in any one of the following: RRC signaling, MAC CE, DCI, and the capability information of the second communication node.

[0093] Optionally, in Method 2, the length information of the prediction window is the quotient of the length of the prediction window and the length of the observation window. The smaller the change amount of the current channel state, the larger the quotient, that is, the longer the prediction window; or, the more stable the current channel state, the larger the quotient.

[0094] Furthermore, the smaller the change amount of the current channel state when the second communication node is within the movement range, the larger the quotient; or, the more stable the current channel state when the second communication node is within the movement range, the larger the quotient.

[0095] In method 2, the length of the observation window can be used as the baseline, and the length of the prediction window is a multiple of the length of the observation window (coefficient = length of prediction window / length of observation window). For example, the length of the candidate prediction window is {0*OWL, 0.2*OWL, 0.5*OWL, 1*OWL, 2*OWL, 5*OWL}. OWL represents the length of the observation window.

[0096] If the prediction conditions are met, i.e., at least one of the following is satisfied: the change in the current channel state is less than the channel state change threshold, the current channel state is good / stable, and the quotient of the prediction window length and the observation window length is greater than 0 (equivalent to the first message). Provided the change in the current channel state is less than the channel state change threshold, the smaller the change in the current channel state, the larger the quotient. Alternatively, provided the current channel state is good / stable, the more stable the current channel state, the larger the quotient. For example, it can be set to 2 or 5. If the change in the current channel state is less than the channel state change threshold, but the change in the current channel state is not ideal, yet the prediction result can still be determined based on actual measurement results; or if the current channel state is good / stable, but the current channel state is not ideal, yet the prediction result can still be determined based on actual measurement results, then the quotient can be set more conservatively, for example, to 0.2, 0.5, or 1.

[0097] If the prediction conditions are not met, that is, at least one of the following conditions is met: the change in the current channel state is greater than or equal to the channel state change threshold, or the current channel state is poor / unstable, the quotient of the length of the prediction window and the length of the observation window can be 0 (equivalent to the second message).

[0098] The following sections describe how the length information of the prediction window is carried in Method 2.

[0099] In the RRC signaling bearer mode, an RRC signaling for downlink message transmission is designed according to the ASN.1 protocol requirements. It can be named PW_LENGTH_INF and contains information that the length of the prediction window is a multiple of the length of the observation window. That is, PW_LENGTH_INF = length of prediction window / length of observation window.

[0100] If the current channel state change is less than the channel state change threshold and / or the current channel state is stable / good, the value of PW_LENGTH_INF is greater than 0, indicating that the prediction result can be determined based on the actual measurement results. If the second communication node has prediction capabilities (i.e., in the UE side model scenario), the second communication node needs to determine the prediction result in PW based on the actual measurement results in OW, and send the actual measurement results and prediction results to the first communication node. If the second communication node does not have prediction capabilities, but the first communication node does (i.e., in the NW side model scenario), the second communication node sends the actual measurement results to the first communication node, the first communication node receives the actual measurement results sent by the second communication node, and subsequently, the first communication node determines the prediction result based on the actual measurement results.

[0101] If the current channel state change is greater than or equal to the channel state change threshold and / or the current channel state is poor / unstable, PW_LENGTH_INF is set to 0. In this case, prediction based on actual measurement results is not allowed. There is no need to distinguish between the NW side model and the UE side model in this situation. The second communication node needs to perform actual measurements for all measurement opportunities within the prediction window. After the measurements are completed, all actual measurement results are reported to the first communication node for further decision-making.

[0102] In the MAC CE bearer method, a new MAC CE is designed or a reserved area of ​​an existing MAC CE is utilized, using preset bits to carry the length information of the prediction window. This message can be named PW_LENGTH_INF. Optionally, the prediction window length is a multiple of the observation window length. Specific application details are similar to the RRC signaling bearer method and will not be repeated here.

[0103] In the DCI bearer mode, the first communication node can send the prediction window length information, which can be named PW_LENGTH_INF, to the second communication node via the DCI carried on the downlink control channel or downlink data channel. Specific application details are similar to those of the RRC signaling bearer mode and will not be elaborated here.

[0104] In the method of carrying capability information for the second communication node, a capability information segment for the second communication node is designed, which can be named PW_LENGTH_INF and is of optional type. This capability information is used to indicate the length of the prediction window. The first communication node determines the specific value of the length information based on the current channel conditions. The specific application details are similar to those of the RRC signaling carrying method, and will not be elaborated here.

[0105] For method 3, the second communication node autonomously controls its current behavior. When the second communication node determines that the current channel conditions (optionally, this can also be combined with the second communication node's movement range) meet the prediction conditions, i.e., at least one of the following is satisfied: the current channel state change is less than the channel state change threshold, or the current channel state is good / stable, it sends a first message to the first communication node. The first communication node receives the first message sent by the second communication node. If the prediction conditions are not met, i.e., the current channel state change is greater than or equal to the channel state change threshold, or the current channel state is poor / unstable, it sends a second message to the first communication node.

[0106] The first and second messages in this method are carried in any of the following: RRC signaling, MAC CE, or Uplink Control Information (UCI).

[0107] The following sections describe the methods for carrying the first and second messages in Method 3.

[0108] In the RRC signaling bearer mode, an RRC signaling message for uplink message transmission is designed according to the ASN.1 protocol requirements, which can be named RRC_UE_AI_Available. Its value is a boolean type, that is, RRC_UE_AI_Available = Boolean{true,false}.

[0109] If the second communication node determines that the current channel state change is less than the channel state change threshold and / or the current channel state is stable, the second communication node sends a signaling message RRC_UE_AI_Available = true (equivalent to the first message) to the first communication node, indicating that the prediction result can be determined based on the actual measurement results. If the second communication node has prediction capabilities (i.e., in the UE side model scenario), the second communication node needs to determine the prediction result in the PW based on the actual measurement results in the OW, and send the actual measurement results and the prediction result to the first communication node. If the second communication node does not have prediction capabilities, but the first communication node does (i.e., in the NW side model scenario), the second communication node sends the actual measurement results to the first communication node, the first communication node receives the actual measurement results sent by the second communication node, and subsequently, the first communication node determines the prediction result based on the actual measurement results.

[0110] If the second communication node determines that at least one of the following conditions is met: the current channel state change amount is greater than or equal to the channel state change threshold (e.g., |predicted SNR - measured SNR| > Y dB), the current channel state is poor / unstable (e.g., SNR < X dB) (optionally, it can also include that the second communication node is outside the movement range), at this time, prediction based on the actual measurement results is not allowed, and the second communication node sends a signaling RRC_UE_AI_Available = false (equivalent to the second message) to the first communication node. In this case, there is no need to distinguish between the NW side model or the UE side model. The second communication node needs to perform actual measurements on all measurement occasions in the prediction window, and after the measurement is completed, report all actual measurement results to the first communication node for the next decision.

[0111] In the MAC CE bearer mode, design a new MAC CE or use the reserved area of the existing MAC CE, and use a preset bit, for example, 1 bit to carry the first message or the second message. This uplink assistance information (Uplink Assistance Information, UAI) can be named AI_Available_indication.

[0112] If the second communication node determines that the current channel state change amount is less than the channel state change threshold and / or the current channel state is stable, the second communication node sends AI_Available_indication = 0 (equivalent to the first message) to the first communication node, indicating that the prediction result can be determined based on the actual measurement results currently. If the second communication node has the prediction function (i.e., the scenario of the UE side model), the second communication node needs to determine the prediction result in the PW according to the actual measurement results in the OW and send the actual measurement results and the prediction result to the first communication node. If the second communication node does not have the prediction function and the first communication node has the prediction function (i.e., the scenario of the NW side model), the second communication node sends the actual measurement results to the first communication node, and the first communication node receives the actual measurement results sent by the second communication node, and then the first communication node determines the prediction result according to the actual measurement results.

[0113] If the second communication node determines that at least one of the following conditions is met: the current channel state change amount is greater than or equal to the channel state change threshold (e.g., |predicted SNR - measured SNR| > Y dB), the current channel state is poor / unstable (e.g., SNR < X dB) (optionally, it can also include that the second communication node is outside the movement range), at this time, prediction based on the actual measurement results is not allowed, and the second communication node sends AI_Available_indication = 1 (equivalent to the second message) to the first communication node. In this case, there is no need to distinguish between the NW side model or the UE side model. The second communication node needs to perform actual measurements for all measurement opportunities in the prediction window, and after the measurement is completed, report all actual measurement results to the first communication node for the next decision.

[0114] In the UCI bearer mode, the second communication node can send the first message (which can be named UE_AI_Available) to the first communication node through UCI carried on the uplink control channel or the uplink data channel, or send the second message to the first communication node to indicate whether the prediction condition is currently met and whether the prediction result can be determined based on the actual measurement results. The specific application details are similar to those of the RRC signaling bearer mode and will not be elaborated here.

[0115] In scenario A1 of the above time-domain prediction, since no measurement is skipped, it is ensured that the measurement results in the observation window are all actual measurement results. Furthermore, the accuracy of the prediction result determined based on the actual measurement results is further improved.

[0116] In scenario B1 of the time-domain prediction, the measurement results in the observation window are historical true measurement results. Based on these true measurement results, the first communication node or the second communication node speculates on the results in the subsequent prediction window, thereby skipping actual measurements (no actual measurements are performed for the measurement opportunities in the prediction window) to reduce the measurement overhead and achieve the purpose of reducing the measurement delay. FIG. 8 is a schematic diagram of another observation window and prediction window provided by an embodiment. As shown in FIG. 8, a black square block represents an actual measurement result, and a white square block represents a prediction result. In FIG. 8, as time goes by, the measurement instances in the PW are not actually measured. FIG. 9 is a schematic diagram of yet another observation window and prediction window provided by an embodiment. As shown in FIG. 9, a black square block represents an actual measurement result, a white square block represents a prediction result, and a square block with a dotted filling pattern represents a measurement instance for which no actual measurement is performed. In FIG. 9, as time goes by, the measurement instances in the PW are not actually measured.

[0117] In scenario B1 of time-domain prediction, at least one of the following methods can be used to ensure the accuracy of the prediction results: Method 1, real-time monitoring of the first communication node; Method 2, configuration of the first communication node; Method 3, autonomous control of the second communication node. The specific implementation process is similar to the methods in scenario A1 of time-domain prediction, and will not be repeated here.

[0118] In scenario B1 of the above time-domain prediction, the prediction result can be determined based on the actual measurement results, and the actual measurement in the prediction window is skipped. Therefore, the measurement overhead and measurement latency are reduced.

[0119] In frequency domain prediction, based on the deployment locations of the measured cell and the predicted cell, or based on the deployment locations of the measured beam and the predicted beam, prediction can be divided into co-located prediction and non-co-located prediction. Co-located prediction indicates that the measured cell and the predicted cell are located in the same location or their location deviation is less than a location deviation threshold, or that the measured beam and the predicted beam are located in the same location or their location deviation is less than a location deviation threshold. Non-co-located prediction indicates that the measured cell and the predicted cell are located in different locations or their location deviation is greater than or equal to a location deviation threshold, or that the measured beam and the predicted beam are located in different locations or their location deviation is greater than or equal to a location deviation threshold.

[0120] In frequency domain prediction, the actual measurement result is the actual measurement result of the second communication node at the first frequency of the measurement cell, and the prediction result is the prediction result of the second frequency of the prediction cell between frequencies determined by either the first or second communication node. Alternatively, the actual measurement result is the actual measurement result of the second communication node at the first frequency of the measurement beam, and the prediction result is the prediction result of the second frequency of the prediction beam between frequencies determined by either the first or second communication node based on the actual measurement result. Here, the first frequency and the second frequency are different.

[0121] Furthermore, in frequency domain prediction, the actual measurement result and the predicted result occur at the same time. Alternatively, the time corresponding to the predicted result may be later than the time corresponding to the actual measurement result. This embodiment is not limited to this.

[0122] Throughout the measurement inference process, the sampling period (with sliding L1 / L3 filtering option) or the measurement period (with non-sliding L1 / L3 filtering option) is slid forward.

[0123] Figure 10 is a schematic diagram of a measurement cell and a predicted cell provided in an embodiment. Figure 10 illustrates an example where the actual measurement result and the predicted result occur at the same time. As shown in Figure 10, it illustrates both a scenario where the measurement cell and the predicted cell are co-located and a scenario where they are not co-located.

[0124] During frequency domain measurement inference, changes in conditions such as the wireless channel or user location may affect the accuracy of the prediction results, thereby impacting subsequent cell handover and other decision-making. Therefore, to ensure that the accuracy of the prediction results meets practical requirements, the prediction conditions in this embodiment include at least one of the following: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the movement range; the current channel state is stable, and the second communication node is within the movement range. Wherein, the current channel is the channel corresponding to the measurement cell at the first frequency, and the predicted channel is the channel corresponding to the predicted cell at the second frequency; or, the current channel is the channel corresponding to the measurement beam at the first frequency, and the predicted channel is the channel corresponding to the predicted beam at the second frequency.

[0125] In the co-location prediction scenario of frequency domain prediction, for inter-frequency co-located deployments, the actual measurement result (e.g., RSRP) of the measurement cell X at frequency f1 (e.g., 2 GHz) is used as input to predict the prediction result (e.g., RSRP) of the inter-frequency cell Y (i.e., the predicted cell) at frequency f2 (e.g., 4 GHz) within the same sector at the same site location. Alternatively, the actual measurement result (e.g., RSRP) of the measurement beam at frequency f3 is used as input to predict the prediction result (e.g., RSRP) of the inter-frequency beam (i.e., the predicted beam) within the same sector at the same site location.

[0126] In the co-location prediction scenario of frequency domain prediction, at least one of the following methods can be used to ensure the accuracy of the prediction results: Method 1, real-time monitoring of the first communication node; Method 2, configuration of the first communication node; Method 3, autonomous control of the second communication node.

[0127] For Method 1, the first communication node monitors the current channel conditions in real time. For example, it monitors the current channel conditions using uplink and downlink channel reciprocity (obtaining the uplink channel conditions based on the information reported by the second communication node, and then inferring the downlink channel state). If the prediction conditions are met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the movement range; or the current channel state is stable, and the second communication node is within the movement range, the first communication node sends a first message to the second communication node to instruct the prediction result of the predicted cell to be determined based on the actual measurement results of the second communication node in the existing measurement cell, and to indicate that the prediction result can be used for subsequent operations. If the second communication node has prediction capabilities (i.e., in the UE side model scenario), the second communication node needs to determine the prediction results between frequencies based on the actual measurement results and send the actual measurement results and prediction results to the first communication node. If the second communication node does not have prediction capabilities, but the first communication node does (i.e., in the NW side model scenario), the second communication node sends the actual measurement results to the first communication node, the first communication node receives the actual measurement results sent by the second communication node, and subsequently, the first communication node determines the prediction results based on the actual measurement results.

[0128] If the prediction conditions are not met, i.e., at least one of the following is met: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold; the second communication node is not within the range of motion; or the current channel state is unstable, then the first communication node sends a second message to the second communication node to indicate that no measurement inference is performed.

[0129] In Method 1, the first message is a second indication message. The second indication message carries any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node. The second message can also be a fifth indication message. The fifth indication message carries any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node.

[0130] The following sections describe the methods for carrying the second and fifth instruction messages in Method 1.

[0131] In the RRC signaling bearer mode, an RRC signaling for downlink message transmission is designed according to the ASN.1 protocol requirements. It can be named RRC_BS_AI_Available, and its value is a boolean type, that is, RRC_BS_AI_Available=Boolean{true,false}.

[0132] If the first communication node monitors and meets the prediction conditions, that is, at least one of the following conditions is met: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the range of motion; the current channel state is stable, and the second communication node is within the range of motion, the first communication node sends a signaling message RRC_BS_AI_Available = TRUE (equivalent to the second indication message) to the second communication node, indicating that the prediction result can be determined based on the actual measurement results.

[0133] If the first communication node's monitoring does not meet the prediction conditions, i.e., at least one of the following is met: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold; the second communication node is not within the movement range; or the current channel state is unstable, the first communication node sends the signaling RRC_BS_AI_Available = FALSE (equivalent to the fifth indication message) to the second communication node. In this case, there is no need to distinguish between the NW side model and the UE side model. The second communication node needs to perform actual measurements on all frequencies, and after the measurements are completed, report all actual measurement results to the first communication node for further decision-making.

[0134] In the MAC CE carrying method, a new MAC CE is designed or the reserved area of ​​an existing MAC CE is utilized, using preset bits, for example, 1 bit to carry the second or fifth indication message. This message can be named "AI_Available_indication". Optionally, AI_Available_indication has a default value of 0 (equivalent to the second indication message), indicating that the prediction result can be determined based on the actual measurement results.

[0135] If the first communication node detects that the prediction conditions are met, that is, at least one of the following conditions is met: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the range of motion; the current channel state is stable, and the second communication node is within the range of motion, the first communication node sends AI_Available_indication=0 to the second communication node.

[0136] If the first communication node monitors that the prediction conditions are not met, that is, at least one of the following is satisfied: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold; the second communication node is not within the movement range; the current channel state is unstable (e.g., SNR < X dB), the first communication node sends AI_Available_indication = 1 (equivalent to the fifth indication message) to the second communication node. In this case, there is no need to distinguish between the NW side model or the UE side model. The second communication node needs to perform actual measurements on all frequencies, and after the measurement is completed, report all the actual measurement results to the first communication node for the next decision-making.

[0137] In the DCI-bearing manner, the first communication node can send the second indication message (named AI_Available_ON) or the fifth indication message (AI_Available_OFF) to the second communication node through the DCI carried on the downlink control channel or the downlink data channel, to indicate whether the current prediction conditions are met and whether the prediction result can be determined based on the actual measurement results. The specific application details are similar to those of the RRC signaling-bearing manner and will not be elaborated here.

[0138] In the manner of bearing the capability information of the second communication node, a second communication node capability information (Capability) is designed, which can be named measurewithavailableAI and is of an optional type. If this capability information is configured for the second communication node, it means that it can currently obtain a reasonable prediction result based on the actual measurement results. The first communication node decides whether to configure this capability for the second communication node according to the channel state.

[0139] If the first communication node monitors that the prediction conditions are met, that is, at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the movement range; the current channel state is stable, and the second communication node is within the movement range, the first communication node configures measurewithavailableAI (equivalent to the second indication message) for the second communication node, indicating that the prediction result can currently be determined based on the actual measurement results.

[0140] If the first communication node monitors that the prediction condition is not satisfied, that is, at least one of the following is satisfied: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold; the second communication node is not within the movement range; the current channel state is unstable (e.g., SNR < X dB), the first communication node will not configure measurewithavailableAI (equivalent to the fifth indication message) for the second communication node. In this case, there is no need to distinguish between the NW side model or the UE side model. The second communication node needs to perform actual measurements on all frequencies, and after the measurement is completed, report all the actual measurement results to the first communication node for the next decision-making.

[0141] For Method 2, the first communication node can configure the first message or the second message according to the current channel conditions and other environmental conditions (such as network deployment density, indoor or outdoor scenarios, etc.), and send the first message or the second message to the second communication node. In Method 2, the first message is the actual measurement period of the measurement samples to mitigate the impact of channel condition changes on the prediction process. The actual measurement period of the measurement samples is carried in any one of the following: RRC signaling, MAC CE, DCI, the capability information of the second communication node.

[0142] Optionally, the greater the correlation between the current channel and the predicted channel, and the second communication node is within the movement range, the longer the actual measurement period. The smaller the correlation between the current channel and the predicted channel, or the second communication node is not within the movement range, the shorter the actual measurement period, so as to obtain more accurate measurement results through frequent measurements.

[0143] Alternatively, the more stable the current channel state, and the second communication node is within the movement range, the longer the actual measurement period.

[0144] In this Method 2, the signal measurement time configuration (SMTC) or the synchronization signal block (SSB) measurement period in traditional measurements can be used as a baseline. For example, the candidate measurement period (candidate value) = {0ms, 20ms, 40ms, 80ms, 160ms}.

[0145] If the prediction conditions are met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the movement range; or the current channel state is stable, and the second communication node is within the movement range, the actual measurement period of the measurement sample is set to be greater than 0 (equivalent to the first message). If the correlation between the current channel and the predicted channel is higher and the second communication node is within the movement range, the measurement results of different beams or cells have a strong correlation, and the actual measurement period can be set to be larger, such as 80ms; if the channel does not have a strong correlation due to the changing environment or the location of the second communication node, but prediction can still be made, the actual measurement period can be set more conservatively, such as 20ms.

[0146] If the prediction conditions are not met, i.e., at least one of the following conditions is met: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold; the second communication node is not within the movement range; or the current channel state is unstable, the actual measurement period of the measurement sample is set to 0 (equivalent to the second message).

[0147] The following sections describe the bearing method of the actual measurement cycle of the measurement sample in Method 2.

[0148] In the RRC signaling bearer mode, an RRC signaling protocol for downlink message transmission is designed according to the ASN.1 protocol requirements. This protocol can be named MEASFORAI_PERIOD and contains the actual measurement period for a single measurement sample. The greater the correlation between the current channel and the predicted channel, and the more likely the second communication node is within range of motion, the longer the actual measurement period. Alternatively, the more stable the current channel state, and the more likely the second communication node is within range of motion, the longer the actual measurement period.

[0149] If the first communication node's monitoring meets the prediction conditions, i.e., at least one of the following conditions is met: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the movement range; or the current channel state is stable, and the second communication node is within the movement range, then MEASFORAI_PERIOD is set to a value greater than 0, indicating that the prediction result can be determined based on the actual measurement results. If the second communication node has prediction capabilities (i.e., in the UE side model scenario), then the second communication node needs to determine the prediction result based on the actual measurement results and send the actual measurement results and the prediction result to the first communication node. If the second communication node does not have prediction capabilities, but the first communication node does (i.e., in the NW side model scenario), then the second communication node sends the actual measurement results to the first communication node, the first communication node receives the actual measurement results sent by the second communication node, and subsequently, the first communication node determines the prediction result based on the actual measurement results.

[0150] If the first communication node's monitoring does not meet the prediction conditions, i.e., at least one of the following is met: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold; the second communication node is not within the movement range; or the current channel state is unstable, then MEASFORAI_PERIOD is set to 0. In this case, there is no need to distinguish between the NW side model and the UE side model. The second communication node needs to perform actual measurements on all frequencies and report all actual measurement results to the first communication node after the measurements are completed for further decision-making.

[0151] In the MAC CE bearer method, a new MAC CE is designed or the reserved area of ​​an existing MAC CE is utilized, using preset bits to carry the actual measurement period of the measurement sample. This message can be named MEASFORAI_PERIOD and contains the actual measurement period of the measurement sample. Specific application details are similar to the RRC signaling bearer method and will not be repeated here.

[0152] In the DCI bearer mode, the first communication node can send the actual measurement period of the measurement sample to the second communication node via the DCI carried on the downlink control channel or downlink data channel, which can be named MEASFORAI_PERIOD. Specific application details are similar to the RRC signaling bearer mode and will not be elaborated here.

[0153] In the method of carrying capability information in the second communication node, a capability information of the second communication node is designed, which can be named MEASFORAI_PERIOD, and its type is optional. This capability information is used to indicate the actual measurement period of the measurement sample. The first communication node determines the specific value of the actual measurement period according to the current channel conditions. The specific application details are similar to those of the RRC signaling carrying method, and will not be repeated here.

[0154] For method 3, the second communication node autonomously controls its current behavior. When the second communication node determines that the prediction conditions are met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the movement range; or the current channel state is stable, and the second communication node is within the movement range, it sends a first message to the first communication node. The first communication node receives the first message sent by the second communication node. When the second communication node determines that the prediction conditions are not met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold; the second communication node is not within the movement range; or the current channel state is unstable, it sends a second message to the first communication node.

[0155] The first and second messages in this method are carried in any of the following: RRC signaling, MAC CE, UCI.

[0156] The following sections describe the methods for carrying the first and second messages in Method 3.

[0157] In the RRC signaling bearer mode, an RRC signaling message for uplink message transmission is designed according to the ASN.1 protocol requirements, which can be named RRC_UE_AI_Available. Its value is a boolean type, that is, RRC_UE_AI_Available = Boolean{true,false}.

[0158] If the prediction conditions are met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the movement range; the current channel state is stable, and the second communication node is within the movement range, the second communication node sends a signaling message RRC_UE_AI_Available = true (equivalent to the first message) to the first communication node, indicating that the prediction result can be determined based on the actual measurement results. If the second communication node has prediction capabilities (i.e., in the UE side model scenario), the second communication node needs to determine the prediction result based on the actual measurement results and send the actual measurement results and the prediction result to the first communication node. If the second communication node does not have prediction capabilities, but the first communication node does (i.e., in the NW side model scenario), the second communication node sends the actual measurement results to the first communication node, the first communication node receives the actual measurement results sent by the second communication node, and subsequently, the first communication node determines the prediction result based on the actual measurement results.

[0159] If the prediction conditions are not met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold; the second communication node is not within the movement range; or the current channel state is unstable, the second communication node sends the signaling RRC_UE_AI_Available = FALSE (equivalent to the second message) to the first communication node. In this case, there is no need to distinguish between the NW side model and the UE side model. The second communication node needs to perform actual measurements on all frequencies, and after the measurements are completed, report all actual measurement results to the first communication node for further decision-making.

[0160] In the MAC CE carrying method, a new MAC CE is designed or the reserved area of ​​an existing MAC CE is utilized, using preset bits, for example, 1 bit to carry the first message or the second message. This UAI can be named AI_Available_indication.

[0161] If the prediction conditions are met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the motion range; the current channel state is stable, and the second communication node is within the motion range, the second communication node sends AI_Available_indication = 0 (equivalent to the first message) to the first communication node, indicating that the prediction result can be determined based on the actual measurement results. If the second communication node has prediction capabilities (i.e., in the UE side model scenario), the second communication node needs to determine the prediction result based on the actual measurement results and send the actual measurement results and the prediction result to the first communication node. If the second communication node does not have prediction capabilities, but the first communication node does (i.e., in the NW side model scenario), the second communication node sends the actual measurement results to the first communication node, the first communication node receives the actual measurement results sent by the second communication node, and subsequently, the first communication node determines the prediction result based on the actual measurement results.

[0162] If the prediction conditions are not met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold; the second communication node is not within the movement range; the current channel state is unstable, and the second communication node sends AI_Available_indication=1 (equivalent to a second message) to the first communication node, then prediction based on actual measurement results is not allowed. In this case, there is no need to distinguish between the NW side model and the UE side model. The second communication node needs to perform actual measurements on all frequencies, and after the measurements are completed, report all actual measurement results to the first communication node for further decision-making.

[0163] In the UCI bearer mode, the second communication node can send a first message (which can be named UE_AI_Available) to the first communication node via UCI carried on the uplink control channel or uplink data channel, or send a second message to the first communication node to indicate whether the prediction conditions are met and whether the prediction result can be determined based on the actual measurement results.

[0164] If the prediction conditions are met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the movement range; the current channel state is stable, and the second communication node is within the movement range, the second communication node sends UE_AI_Available = true (equivalent to the first message) to the first communication node, indicating that the prediction result can be determined based on the actual measurement results. If the second communication node has prediction capabilities (i.e., in the UE side model scenario), the second communication node needs to determine the prediction result based on the actual measurement results and send the actual measurement results and the prediction result to the first communication node. If the second communication node does not have prediction capabilities, but the first communication node does (i.e., in the NW side model scenario), the second communication node sends the actual measurement results to the first communication node, the first communication node receives the actual measurement results sent by the second communication node, and subsequently, the first communication node determines the prediction result based on the actual measurement results.

[0165] If the prediction conditions are not met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold; the second communication node is not within the movement range; or the current channel state is unstable, the second communication node sends UE_AI_Available=false (equivalent to a second message) to the first communication node. In this case, prediction based on actual measurement results is not allowed. In this situation, there is no need to distinguish between the NW side model and the UE side model. The second communication node needs to perform actual measurements on all frequencies and report all actual measurement results to the first communication node after the measurements are completed for further decision-making.

[0166] In the co-location prediction scenario of frequency domain prediction above, by limiting the conditions of the current channel and the predicted channel as well as the location of the second communication node, when the prediction conditions are met, it is possible to predict cell prediction results or beam prediction results of different frequencies based on actual measurement results, thereby reducing measurement overhead, especially reducing the measurement gap overhead required for measurement between frequencies.

[0167] In the non-co-located prediction scenario of frequency domain prediction, for inter-frequency non-co-located deployments, the actual measurement result (e.g., RSRP) of the measurement cell X at frequency f1 (e.g., 2 GHz) is used as input to predict the prediction result (e.g., RSRP) of the inter-frequency cell (i.e., the predicted cell) Y at frequency f2 (e.g., 4 GHz) at different site locations. Alternatively, the actual measurement result (e.g., RSRP) of the measurement beam at frequency f3 is used as input to predict the prediction result (e.g., RSRP) of the inter-frequency beam (i.e., the predicted beam) at frequency f4 at different site locations.

[0168] In the non-co-located prediction scenario of frequency domain prediction, at least one of the following methods can be used to ensure the accuracy of the prediction results: Method 1, real-time monitoring of the first communication node; Method 2, configuration of the first communication node; Method 3, autonomous control of the second communication node. The specific implementation process is similar to the various methods in the co-located prediction scenario of frequency domain prediction, and will not be elaborated here.

[0169] In the non-co-located prediction scenario of the frequency domain prediction above, by limiting the conditions of the current channel and the predicted channel as well as the location of the second communication node, when the prediction conditions are met, it is possible to predict cell prediction results or beam prediction results of different frequencies based on the actual measurement results, thereby reducing measurement overhead, especially reducing the measurement gap overhead required for measurement between frequencies.

[0170] In spatial domain prediction, the actual measurement results are the measurement results of cells in the Observation Set (OS), and the prediction results are the prediction results of cells in the Prediction Set (PS). Alternatively, the actual measurement results are the measurement results of beams in the Observation Set, and the prediction results are the prediction results of beams in the Prediction Set. The Observation Set contains the actual measurement results. Based on these actual measurement results, the first or second communication node makes inferences about the results in the Prediction Set, thereby skipping the actual measurements and reducing measurement latency.

[0171] Furthermore, in spatial domain prediction, the actual measurement result and the predicted result occur at the same time. Alternatively, the time corresponding to the predicted result may be later than the time corresponding to the actual measurement result. This embodiment is not limited to this.

[0172] Optionally, the measurement set in this embodiment can be a cell or beam in a configured SSB. The actual measurement results in the measurement set are used as input to the prediction model to predict the cell-level measurement results after L3 filtering for the same cell or different cells at each time step.

[0173] In spatial domain prediction, the measurement results of all beams or cells are predicted by measuring a small set of beams or cells. This avoids measuring all beams or cells, thus reducing measurement delay.

[0174] In spatial domain prediction, scenarios can be divided into inter-cell and intra-cell scenarios. Throughout the measurement inference process, the sampling period (with sliding L1 / L3 filtering options) or the measurement period (with non-sliding L1 / L3 filtering options) is slid forward.

[0175] Figure 11 is a schematic diagram of beam measurement in related technologies. As shown in Figure 11, in related technologies, it is necessary to measure all beams.

[0176] Figure 12 is a schematic diagram of a measurement set and a prediction set provided in one embodiment. As shown in Figure 12, in this embodiment, the beam in the measurement set is the measurement beam, and the beam in the prediction set is the prediction beam. It can be seen that in spatial domain prediction, the prediction result of the beam in the prediction set can be determined by the measurement result of the beam in the measurement set, thereby reducing measurement overhead.

[0177] During spatial domain measurement inference, changes in conditions such as wireless channels or user locations may affect the accuracy of prediction results, thereby impacting subsequent cell handover and other decision-making. Therefore, to ensure the accuracy of prediction results meets practical requirements, the prediction conditions in this embodiment include at least one of the following: the correlation between the current channel and the predicted channel is greater than a channel correlation threshold; the current channel state is stable. Wherein, the current channel is the channel corresponding to the cell in the measurement set, and the predicted channel is the channel corresponding to the cell in the prediction set. Alternatively, the current channel is the channel corresponding to the beam in the measurement set, and the predicted channel is the channel corresponding to the beam in the prediction set.

[0178] Furthermore, to further ensure the accuracy of the prediction results, the prediction conditions in this embodiment include at least one of the following: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the motion range; the current channel state is stable, and the second communication node is within the motion range.

[0179] In the intra-cell scenario of spatial domain prediction, it is necessary to select cells or beams in the measurement set for actual measurement to obtain the actual measurement results, and then determine the prediction results of cells or beams in the prediction set based on the actual measurement results.

[0180] In the intra-cell scenario of spatial domain prediction, at least one of the following methods can be used to ensure the accuracy of the prediction results: Method 1, real-time monitoring of the first communication node; Method 2, configuration of the first communication node; Method 3, autonomous control of the second communication node.

[0181] For Method 1, the first communication node monitors the current channel conditions in real time. For example, it monitors the current channel conditions using uplink and downlink channel reciprocity (obtaining the uplink channel conditions based on the information reported by the second communication node, and then inferring the downlink channel state). If the prediction conditions are met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, or the current channel state is stable, the first communication node sends a first message to the second communication node to instruct that the prediction results in the prediction set be inferred according to the actual measurement results of the existing measurement set, and to indicate that the prediction results can be used for subsequent operations. If the second communication node has prediction capabilities (i.e., in the UE side model scenario), the second communication node needs to determine the prediction results in the prediction set based on the actual measurement results in the measurement set, and send the actual measurement results and prediction results to the first communication node. If the second communication node does not have prediction capabilities, but the first communication node does (i.e., in the NW side model scenario), the second communication node sends the actual measurement results in the measurement set to the first communication node, the first communication node receives the actual measurement results sent by the second communication node, and subsequently, the first communication node determines the prediction results based on the actual measurement results.

[0182] If the prediction conditions are not met, i.e., at least one of the following is met: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold, or the current channel state is unstable (optionally, this may also include the second communication node not being within the range of motion), then the first communication node sends a second message to the second communication node to indicate that no measurement inference is performed.

[0183] In Method 1, the first message is a third indication message. The third indication message carries any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node. The second message can be a sixth indication message. The sixth indication message carries any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node.

[0184] The following sections describe the methods for carrying the third and sixth instruction messages in Method 1.

[0185] In the RRC signaling bearer mode, an RRC signaling for downlink message transmission is designed according to the ASN.1 protocol requirements. It can be named RRC_BS_AI_Available, and its value is a boolean type, that is, RRC_BS_AI_Available=Boolean{true,false}.

[0186] If the first communication node monitors that the prediction condition is met, that is, at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the current channel state is stable, the first communication node sends a signaling RRC_BS_AI_Available = TRUE (equivalent to the third indication message) to the second communication node, indicating that the prediction result can be determined based on the actual measurement result currently.

[0187] If the first communication node monitors that the prediction condition is not met, that is, at least one of the following is satisfied: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold, and the current channel state is unstable (optionally, it may also include that the second communication node is not within the movement range), the first communication node sends a signaling RRC_BS_AI_Available = FALSE (equivalent to the sixth indication message) to the second communication node. In this case, there is no need to distinguish between the NW side model or the UE side model. The second communication node needs to perform actual measurements on all cells or beams, and after the measurement is completed, report all the actual measurement results to the first communication node for the next decision-making.

[0188] In the MAC CE bearing mode, design a new MAC CE or use the reserved area of the current existing MAC CE, and use a preset bit, for example, 1 bit (bit) to bear the third indication message or the sixth indication message. This information can be named "AI_Available_indication". Optionally, the default value of AI_Available_indication is 0 (equivalent to the third indication message), indicating that the prediction result can be determined based on the actual measurement result currently.

[0189] If the first communication node monitors that the prediction condition is met, that is, at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the current channel state is stable, the first communication node sends AI_Available_indication = 0 to the second communication node.

[0190] If the first communication node monitors that the prediction condition is not met, that is, at least one of the following is satisfied: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold, and the current channel state is unstable (such as SNR < X dB) (optionally, it may also include that the second communication node is not within the movement range), the first communication node sends AI_Available_indication = 1 (equivalent to the sixth indication message) to the second communication node. In this case, there is no need to distinguish between the NW side model or the UE side model. The second communication node needs to perform actual measurements on all cells or beams, and after the measurement is completed, report all the actual measurement results to the first communication node for the next decision-making.

[0191] In the DCI bearer mode, the first communication node can send a third indication message (named AI_Available_ON) or a sixth indication message (AI_Available_OFF) to the second communication node via DCI carried on the downlink control channel or the downlink data channel, to indicate whether the prediction condition is currently met and whether the prediction result can be determined based on the actual measurement results. The specific application details are similar to those of the RRC signaling bearer mode and will not be elaborated here.

[0192] In the mode of bearing the capability information of the second communication node, a second communication node capability information can be designed, named measurewithavailableAI, and the type is optional. If this capability information is configured for the second communication node, it means that the second communication node currently has the ability to obtain reasonable prediction results. The first communication node decides whether to configure this capability for the second communication node according to the channel state.

[0193] If the first communication node monitors that the prediction condition is met, that is, at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the current channel state is stable, the first communication node configures measurewithavailableAI (equivalent to the third indication message) for the second communication node, indicating that the prediction result can currently be determined based on the actual measurement results.

[0194] If the first communication node monitors that the prediction condition is not met, that is, at least one of the following is satisfied: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold, and the current channel state is unstable (such as SNR < X dB) (optionally, it can also include that the second communication node is not within the movement range), the first communication node will not configure measurewithavailableAI (equivalent to the sixth indication message) for the second communication node. In this case, there is no need to distinguish between the NW side model or the UE side model. The second communication node needs to perform actual measurements on all cells or beams in the prediction set, and report all the actual measurement results to the first communication node after the measurement for the next decision.

[0195] For Method 2, the first communication node can configure the first message or the second message according to the current channel conditions and other environmental conditions (such as network deployment density, indoor or outdoor scenarios, etc.), and send the first message or the second message to the second communication node. In Method 2, the first message is the actual measurement period of the measurement samples to mitigate the impact of channel condition changes on the prediction process. The actual measurement period of the measurement samples is carried in any one of the following: RRC signaling, MAC CE, DCI, the capability information of the second communication node.

[0196] Optionally, the greater the correlation between the current channel and the predicted channel, the longer the actual measurement period; or, the more stable the current channel state, the longer the actual measurement period. The smaller the correlation between the current channel and the predicted channel, the shorter the actual measurement period, so as to obtain more accurate measurement results through frequent measurements.

[0197] In Method 2, the SMTC or SSB measurement period in traditional measurement can be used as a baseline, for example, the candidate measurement period (candidate value) = {0ms, 20ms, 40ms, 80ms, 160ms}.

[0198] If the prediction conditions are met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, the current channel state is stable, and the actual measurement period of the measurement sample is greater than 0 (equivalent to the first message). If the correlation between the current channel and the predicted channel is higher, and the measurement results of different beams or cells are strongly correlated, the actual measurement period can be set to be larger, such as 80ms; if the channel does not have a strong correlation due to the changing environment or the location of the second communication node, but prediction can still be made, the actual measurement period can be set more conservatively, such as 20ms.

[0199] If the prediction conditions are not met, i.e., at least one of the following is met: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold, or the current channel state is unstable (optionally, it may also include the second communication node not being within the movement range), the actual measurement period of the measurement sample is set to 0 (equivalent to the second message).

[0200] The following sections describe the bearing method of the actual measurement cycle of the measurement sample in Method 2.

[0201] In the RRC signaling bearer mode, an RRC signaling protocol for downlink message transmission is designed according to the ASN.1 protocol requirements. This protocol can be named MEASFORAI_PERIOD and contains the actual measurement period for a single measurement sample. The greater the correlation between the current channel and the predicted channel, the longer the actual measurement period. Alternatively, the more stable the current channel state, the longer the actual measurement period.

[0202] If the first communication node's monitoring meets the prediction conditions, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, or the current channel state is stable, then MEASFORAI_PERIOD is set to a value greater than 0, indicating that the prediction result can be determined based on the actual measurement results. If the second communication node has prediction capabilities (i.e., in the UE side model scenario), then the second communication node needs to determine the prediction result based on the actual measurement results and send the actual measurement results and the prediction result to the first communication node. If the second communication node does not have prediction capabilities, but the first communication node does (i.e., in the NW side model scenario), then the second communication node sends the actual measurement results to the first communication node, the first communication node receives the actual measurement results sent by the second communication node, and subsequently, the first communication node determines the prediction result based on the actual measurement results.

[0203] If the first communication node's monitoring does not meet the prediction conditions, i.e., at least one of the following is met: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold, or the current channel state is unstable (optionally, this may also include the second communication node not being within the movement range), then MEASFORAI_PERIOD is set to 0. In this case, there is no need to distinguish between the NW side model and the UE side model. The second communication node needs to perform actual measurements on all cells or beams in the prediction set, and after the measurements are completed, report all actual measurement results to the first communication node for further decision-making.

[0204] In the MAC CE bearer method, a new MAC CE is designed or the reserved area of ​​an existing MAC CE is utilized, using preset bits to carry the actual measurement period of the measurement sample. This message can be named MEASFORAI_PERIOD and contains the actual measurement period of the measurement sample. Specific application details are similar to the RRC signaling bearer method and will not be repeated here.

[0205] In the DCI bearer mode, the first communication node can send the actual measurement period of the measurement sample to the second communication node via the DCI carried on the downlink control channel or downlink data channel, which can be named MEASFORAI_PERIOD. Specific application details are similar to the RRC signaling bearer mode and will not be elaborated here.

[0206] In the method of carrying capability information in the second communication node, a capability information of the second communication node is designed, which can be named MEASFORAI_PERIOD, and its type is optional. This capability information is used to indicate the actual measurement period of the measurement sample. The first communication node determines the specific value of the actual measurement period according to the current channel conditions. The specific application details are similar to those of the RRC signaling carrying method, and will not be repeated here.

[0207] For method 3, the second communication node autonomously controls its current behavior. When the second communication node determines that the prediction conditions are met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, or the current channel state is stable, it sends a first message to the first communication node. The first communication node receives the first message sent by the second communication node. The first message indicates that the prediction result in the prediction set is determined based on the actual measurement results of the second communication node in the measurement set, and indicates that the prediction result can be used for subsequent operations. If the second communication node has prediction capabilities (i.e., in the UE side model scenario), the second communication node needs to determine the prediction result in the prediction set based on the actual measurement results in the measurement set, and send the actual measurement results and the prediction result to the first communication node. If the second communication node does not have prediction capabilities, but the first communication node does (i.e., in the NW side model scenario), the second communication node sends the actual measurement results to the first communication node, the first communication node receives the actual measurement results sent by the second communication node, and subsequently, the first communication node determines the prediction result based on the actual measurement results.

[0208] The second communication node determines that the prediction conditions are not met, that is, at least one of the following conditions is met: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold, or the current channel state is unstable, and sends a second message to the first communication node.

[0209] The first and second messages in this method are carried in any of the following: RRC signaling, MAC CE, UCI.

[0210] The following sections describe the methods for carrying the first and second messages in Method 3.

[0211] In the RRC signaling bearer mode, an RRC signaling message for uplink message transmission is designed according to the ASN.1 protocol requirements, which can be named RRC_UE_AI_Available. Its value is a boolean type, that is, RRC_UE_AI_Available = Boolean{true,false}.

[0212] If the prediction conditions are met, i.e., at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, or the current channel state is stable, the second communication node sends the signaling RRC_UE_AI_Available=true (equivalent to the first message) to the first communication node, indicating that the prediction result can be determined based on the actual measurement results.

[0213] If it is determined that the prediction conditions are not met, that is, at least one of the following is satisfied: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold, the current channel state is unstable (for example, SNR < X dB), the second communication node sends a signaling RRC_UE_AI_Available = FALSE (equivalent to the second message) to the first communication node. In this case, there is no need to distinguish between the NW side model or the UE side model. The second communication node needs to perform actual measurements on the beams or cells in the prediction set, and after the measurement is completed, report all the actual measurement results to the first communication node for the next decision.

[0214] In the MAC CE bearer mode, design a new MAC CE or use the reserved area of the current existing MAC CE, and use a preset bit, for example, 1 bit to carry the first message or the second message. This UAI can be named AI_Available_indication.

[0215] If it is determined that the prediction conditions are met, that is, at least one of the following is satisfied: the correlation between the current channel and the predicted channel is greater than the channel correlation threshold, the current channel state is stable, the second communication node sends AI_Available_indication = 0 (equivalent to the first message) to the first communication node, indicating that the prediction result can be determined based on the actual measurement results currently.

[0216] If it is determined that the prediction conditions are not met, that is, at least one of the following is satisfied: the correlation between the current channel and the predicted channel is less than or equal to the channel correlation threshold, the current channel state is unstable (optionally, it can also include that the second communication node is not within the moving range), the second communication node sends AI_Available_indication = 1 (equivalent to the second message) to the first communication node. At this time, it is not allowed to make a prediction based on the actual measurement results. In this case, there is no need to distinguish between the NW side model or the UE side model. The second communication node needs to perform actual measurements on the beams or cells in the prediction set, and after the measurement is completed, report all the actual measurement results to the first communication node for the next decision.

[0217] In the UCI bearer mode, the second communication node can send the first message (which can be named UE_AI_Available) to the first communication node through the UCI carried on the uplink control channel or the uplink data channel, or send the second message to the first communication node to indicate whether the prediction conditions are met currently and whether the prediction result can be determined based on the actual measurement results. The specific application details are similar to the RRC signaling bearer mode and will not be elaborated here.

[0218] In the above spatial domain prediction scenario within a cell, when the prediction conditions are met, the prediction results in the prediction set can be inferred based on the actual measurement results in the measurement set, thereby skipping the actual measurement and reducing the measurement latency.

[0219] In inter-cell scenarios of spatial domain prediction, it is necessary to select cells or beams in the measurement set for actual measurement to obtain actual measurement results. Based on these results, the prediction results for another cell or beam in the prediction set are then determined. In inter-cell scenarios of spatial domain prediction, at least one of the following methods can be used to ensure the accuracy of the prediction results: Method 1, real-time monitoring by the first communication node; Method 2, configuration of the first communication node; Method 3, autonomous control by the second communication node. The specific implementation process is similar to that in intra-cell scenarios of spatial domain prediction, and will not be elaborated here. In the above-mentioned inter-cell scenarios of spatial domain prediction, when the prediction conditions are met, the prediction results within the prediction set can be inferred based on the actual measurement results in the measurement set, thereby skipping the actual measurement and achieving the goal of reducing measurement latency and power consumption of the second communication node.

[0220] It should be noted that the time-domain prediction, frequency-domain prediction, and spatial-domain prediction implementation methods described in this embodiment can be used in combination.

[0221] Figure 13 is a flowchart illustrating another information transmission method provided in one embodiment. This method is applied to a second communication node. In this embodiment, the second communication node can be the terminal device shown in Figure 1. As shown in Figure 13, the information transmission method provided in this embodiment includes the following steps.

[0222] Step 1301: When the prediction conditions are met, transmit the first message to the first communication node.

[0223] The first message is used to indicate that the prediction result is determined based on the actual measurement results of the second communication node.

[0224] Step 1302: Determine the prediction result based on the actual measurement results.

[0225] The second communication node has a prediction function.

[0226] The process by which the second communication node determines the prediction result based on the actual measurement results is similar to the process in the embodiment shown in Figure 2 and various optional implementation methods, and will not be described again here.

[0227] Step 1303: Send the actual measurement results and prediction results to the first communication node.

[0228] Optionally, the information transmission method provided in this embodiment may further include the following step: sending the actual measurement result to the first communication node. Wherein, the second communication node does not have a prediction function, while the first communication node does have a prediction function.

[0229] The information transmission method provided in this embodiment includes: transmitting a first message to a first communication node when prediction conditions are met, wherein the first message is used to indicate that a prediction result is determined based on the actual measurement results of a second communication node; determining the prediction result according to the actual measurement results, wherein the second communication node has a prediction function; and sending the actual measurement results and the prediction result to the first communication node. On the one hand, this achieves the acquisition of prediction results determined based on actual measurement results, thereby enabling better decision-making based on the prediction results to avoid unexpected events. Compared with reactive solutions, the proactive solution in this embodiment avoids unexpected events during the handover process, improves handover performance, and enhances communication reliability. On the other hand, transmitting the first message only when prediction conditions are met ensures the validity of the acquired prediction results and further avoids unexpected events.

[0230] In one embodiment, the actual measurement result is located in the observation window, the predicted result is located in the prediction window, and the prediction window is located after the observation window.

[0231] In one embodiment, the prediction condition includes at least one of the following: the change in the current channel state is less than the channel state change threshold; the current channel state is stable.

[0232] In one embodiment, transmitting the first message with the first communication node includes: receiving the first message sent by the first communication node.

[0233] In one embodiment, the first message is a first indication message. The first indication message carries any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node.

[0234] In one embodiment, the first message is the length information of the prediction window. The length information of the prediction window is carried in any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node.

[0235] In one embodiment, the length information of the prediction window is the quotient of the length of the prediction window and the length of the observation window. The smaller the change in the current channel state, the larger the quotient; or, the more stable the current channel state, the larger the quotient.

[0236] In one embodiment, transmitting the first message with the first communication node includes: sending the first message to the first communication node.

[0237] In one embodiment, the first message is carried in any of the following: RRC signaling, MAC CE, UCI.

[0238] In one embodiment, the actual measurement results are beam-level measurement results and / or cell-level measurement results.

[0239] In one embodiment, the actual measurement result is the actual measurement result of the second communication node at the first frequency of the measurement cell, and the prediction result is the prediction result of the first or second communication node at the second frequency of the prediction cell between frequencies; or, the actual measurement result is the actual measurement result of the second communication node at the first frequency of the measurement beam, and the prediction result is the prediction result of the second frequency of the prediction beam between frequencies between frequencies. The first frequency is different from the second frequency.

[0240] In one embodiment, the prediction conditions include at least one of the following: the correlation between the current channel and the predicted channel is greater than a channel correlation threshold, and the second communication node is within the motion range; the current channel state is stable, and the second communication node is within the motion range. Wherein, the current channel is the channel corresponding to the measurement cell at the first frequency, and the predicted channel is the channel corresponding to the predicted cell at the second frequency; or, the current channel is the channel corresponding to the measurement beam at the first frequency, and the predicted channel is the channel corresponding to the predicted beam at the second frequency.

[0241] In one embodiment, transmitting the first message with the first communication node includes: receiving the first message sent by the first communication node.

[0242] In one embodiment, the first message is a second indication message. The second indication message carries any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node.

[0243] In one embodiment, the first message is the actual measurement period of the measurement sample. The actual measurement period of the measurement sample is carried in any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node. The greater the correlation between the current channel and the predicted channel, and the second communication node is within the movement range, the longer the actual measurement period; or, the more stable the current channel state, and the second communication node is within the movement range, the longer the actual measurement period.

[0244] In one embodiment, transmitting the first message with the first communication node includes: sending the first message to the first communication node.

[0245] In one embodiment, the first message is carried in any of the following: RRC signaling, MAC CE, UCI.

[0246] In one embodiment, the actual measurement result is the measurement result of the cell in the measurement set, and the prediction result is the prediction result of the cell in the prediction set; or, the actual measurement result is the measurement result of the beam in the measurement set, and the prediction result is the prediction result of the beam in the prediction set.

[0247] In one embodiment, the prediction conditions include at least one of the following: the correlation between the current channel and the predicted channel is greater than a channel correlation threshold; the current channel state is stable. Wherein, the current channel is the channel corresponding to a cell in the measurement set, and the predicted channel is the channel corresponding to a cell in the prediction set; or, the current channel is the channel corresponding to a beam in the measurement set, and the predicted channel is the channel corresponding to a beam in the prediction set.

[0248] In one embodiment, transmitting the first message with the first communication node includes: receiving the first message sent by the first communication node.

[0249] In one embodiment, the first message is a third indication message. The third indication message carries any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node.

[0250] In one embodiment, the first message is the actual measurement period of the measurement sample. The actual measurement period of the measurement sample is carried in any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node. The greater the correlation between the current channel and the predicted channel, the longer the actual measurement period; or, the more stable the current channel state, the longer the actual measurement period.

[0251] In one embodiment, transmitting the first message with the first communication node includes: sending the first message to the first communication node.

[0252] In one embodiment, the first message is carried in any of the following: RRC signaling, MAC CE, UCI.

[0253] In one embodiment, the first message is further used to indicate that the prediction result can be used for subsequent operations.

[0254] Figure 14 is a schematic diagram of an information transmission device according to an embodiment. The device is disposed in a first communication node. As shown in Figure 14, the information transmission device includes the following modules: a first transmission module 1401 and a receiving module 1402.

[0255] The first transmission module 1401 is configured to transmit a first message to the second communication node when the prediction conditions are met.

[0256] The first message is used to instruct the prediction result to be determined based on the actual measurement results of the second communication node.

[0257] The receiving module 1402 is configured to receive the actual measurement results and the prediction results sent by the second communication node.

[0258] The second communication node has a prediction function.

[0259] In one embodiment, the receiving module 1402 is further configured to receive the actual measurement result sent by the second communication node. The second communication node does not have a prediction function. The device also includes a first determining module configured to determine the prediction result based on the actual measurement result. The first communication node has a prediction function.

[0260] In one embodiment, the actual measurement result is located in the observation window, the predicted result is located in the prediction window, and the prediction window is located after the observation window.

[0261] In one embodiment, the prediction condition includes at least one of the following: the change in the current channel state is less than the channel state change threshold; the current channel state is stable.

[0262] In one embodiment, the first transmission module 1401 is configured to send the first message to the second communication node.

[0263] In one embodiment, the first message is a first indication message. The first indication message carries any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node.

[0264] In one embodiment, the first message is the length information of the prediction window. The length information of the prediction window is carried in any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node.

[0265] In one embodiment, the length information of the prediction window is the quotient of the length of the prediction window and the length of the observation window. The smaller the change in the current channel state, the larger the quotient; or, the more stable the current channel state, the larger the quotient.

[0266] In one embodiment, the first transmission module 1401 is configured to receive a first message sent by the second communication node.

[0267] In one embodiment, the first message is carried in any of the following: RRC signaling, MAC CE, UCI.

[0268] In one embodiment, the actual measurement results are beam-level measurement results and / or cell-level measurement results.

[0269] In one embodiment, the actual measurement result is the actual measurement result of the second communication node at the first frequency of the measurement cell, and the prediction result is the prediction result of the first or second communication node at the second frequency of the prediction cell between frequencies; or, the actual measurement result is the actual measurement result of the second communication node at the first frequency of the measurement beam, and the prediction result is the prediction result of the second frequency of the prediction beam between frequencies between frequencies. The first frequency is different from the second frequency.

[0270] In one embodiment, the prediction conditions include at least one of the following: the correlation between the current channel and the predicted channel is greater than a channel correlation threshold, and the second communication node is within the motion range; the current channel state is stable, and the second communication node is within the motion range. Wherein, the current channel is the channel corresponding to the measurement cell at the first frequency, and the predicted channel is the channel corresponding to the predicted cell at the second frequency; or, the current channel is the channel corresponding to the measurement beam at the first frequency, and the predicted channel is the channel corresponding to the predicted beam at the second frequency.

[0271] In one embodiment, the first transmission module 1401 is configured to send the first message to the second communication node.

[0272] In one embodiment, the first message is a second indication message. The second indication message carries any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node.

[0273] In one embodiment, the first message is the actual measurement period of the measurement sample. The actual measurement period of the measurement sample is carried in any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node. The greater the correlation between the current channel and the predicted channel, and the second communication node is within the movement range, the longer the actual measurement period; or, the more stable the current channel state, and the second communication node is within the movement range, the longer the actual measurement period.

[0274] In one embodiment, the first transmission module 1401 is configured to receive a first message sent by the second communication node.

[0275] In one embodiment, the first message is carried in any of the following: RRC signaling, MAC CE, UCI.

[0276] In one embodiment, the actual measurement result is the measurement result of the cell in the measurement set, and the prediction result is the prediction result of the cell in the prediction set; or, the actual measurement result is the measurement result of the beam in the measurement set, and the prediction result is the prediction result of the beam in the prediction set.

[0277] In one embodiment, the prediction conditions include at least one of the following: the correlation between the current channel and the predicted channel is greater than a channel correlation threshold; the current channel state is stable. Wherein, the current channel is the channel corresponding to a cell in the measurement set, and the predicted channel is the channel corresponding to a cell in the prediction set; or, the current channel is the channel corresponding to a beam in the measurement set, and the predicted channel is the channel corresponding to a beam in the prediction set.

[0278] In one embodiment, the first transmission module 1401 is configured to send the first message to the second communication node.

[0279] In one embodiment, the first message is a third indication message. The third indication message carries any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node.

[0280] In one embodiment, the first message is the actual measurement period of the measurement sample. The actual measurement period of the measurement sample is carried in any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node. The greater the correlation between the current channel and the predicted channel, the longer the actual measurement period; or, the more stable the current channel state, the longer the actual measurement period.

[0281] In one embodiment, the first transmission module 1401 is configured to receive a first message sent by the second communication node.

[0282] In one embodiment, the first message is carried in any of the following: RRC signaling, MAC CE, UCI.

[0283] In one embodiment, the first message is further used to indicate that the prediction result can be used for subsequent operations.

[0284] The information transmission device provided in this embodiment is used to execute the information transmission method executed by the first communication node in any of the above embodiments. The parameter configuration device provided in this embodiment has a similar implementation principle and technical effect, and will not be described again here.

[0285] Figure 15 is a schematic diagram of another information transmission device provided in one embodiment. The device is disposed in a second communication node. As shown in Figure 15, the information transmission device includes the following modules: a second transmission module 1501, a second determination module 1502, and a sending module 1503.

[0286] The second transmission module 1501 is configured to transmit a first message to the first communication node when the prediction conditions are met.

[0287] The first message is used to instruct the prediction result to be determined based on the actual measurement results of the second communication node.

[0288] The second determining module 1502 is configured to determine the predicted result based on the actual measurement result.

[0289] The second communication node has a prediction function.

[0290] The sending module 1503 is configured to send the actual measurement result and the prediction result to the first communication node.

[0291] In one embodiment, the sending module 1503 is further configured to send the actual measurement result to the first communication node. The second communication node does not have a prediction function, while the first communication node does.

[0292] In one embodiment, the actual measurement result is located in the observation window, the predicted result is located in the prediction window, and the prediction window is located after the observation window.

[0293] In one embodiment, the prediction condition includes at least one of the following: the change in the current channel state is less than the channel state change threshold; the current channel state is stable.

[0294] In one embodiment, the second transmission module 1501 is configured to receive a first message sent by the first communication node.

[0295] In one embodiment, the first message is a first indication message. The first indication message carries any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node.

[0296] In one embodiment, the first message is the length information of the prediction window. The length information of the prediction window is carried in any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node.

[0297] In one embodiment, the length information of the prediction window is the quotient of the length of the prediction window and the length of the observation window. The smaller the change in the current channel state, the larger the quotient; or, the more stable the current channel state, the larger the quotient.

[0298] In one embodiment, the second transmission module 1501 is configured to send a first message to the first communication node.

[0299] In one embodiment, the first message is carried in any of the following: RRC signaling, MAC CE, UCI.

[0300] In one embodiment, the actual measurement results are beam-level measurement results and / or cell-level measurement results.

[0301] In one embodiment, the actual measurement result is the actual measurement result of the second communication node at the first frequency of the measurement cell, and the prediction result is the prediction result of the first or second communication node at the second frequency of the prediction cell between frequencies; or, the actual measurement result is the actual measurement result of the second communication node at the first frequency of the measurement beam, and the prediction result is the prediction result of the second frequency of the prediction beam between frequencies between frequencies. The first frequency is different from the second frequency.

[0302] In one embodiment, the prediction conditions include at least one of the following: the correlation between the current channel and the predicted channel is greater than a channel correlation threshold, and the second communication node is within the motion range; the current channel state is stable, and the second communication node is within the motion range. Wherein, the current channel is the channel corresponding to the measurement cell at the first frequency, and the predicted channel is the channel corresponding to the predicted cell at the second frequency; or, the current channel is the channel corresponding to the measurement beam at the first frequency, and the predicted channel is the channel corresponding to the predicted beam at the second frequency.

[0303] In one embodiment, the second transmission module 1501 is configured to receive the first message sent by the first communication node.

[0304] In one embodiment, the first message is a second indication message. The second indication message carries any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node.

[0305] In one embodiment, the first message is the actual measurement period of the measurement sample. The actual measurement period of the measurement sample is carried in any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node. The greater the correlation between the current channel and the predicted channel, and the second communication node is within the movement range, the longer the actual measurement period; or, the more stable the current channel state, and the second communication node is within the movement range, the longer the actual measurement period.

[0306] In one embodiment, the second transmission module 1501 is configured to send a first message to the first communication node.

[0307] In one embodiment, the first message is carried in any of the following: RRC signaling, MAC CE, UCI.

[0308] In one embodiment, the actual measurement result is the measurement result of the cell in the measurement set, and the prediction result is the prediction result of the cell in the prediction set; or, the actual measurement result is the measurement result of the beam in the measurement set, and the prediction result is the prediction result of the beam in the prediction set.

[0309] In one embodiment, the prediction conditions include at least one of the following: the correlation between the current channel and the predicted channel is greater than a channel correlation threshold; the current channel state is stable. Wherein, the current channel is the channel corresponding to a cell in the measurement set, and the predicted channel is the channel corresponding to a cell in the prediction set; or, the current channel is the channel corresponding to a beam in the measurement set, and the predicted channel is the channel corresponding to a beam in the prediction set.

[0310] In one embodiment, the second transmission module 1501 is configured to receive the first message sent by the first communication node.

[0311] In one embodiment, the first message is a third indication message. The third indication message carries any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node.

[0312] In one embodiment, the first message is the actual measurement period of the measurement sample. The actual measurement period of the measurement sample is carried in any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node. The greater the correlation between the current channel and the predicted channel, the longer the actual measurement period; or, the more stable the current channel state, the longer the actual measurement period.

[0313] In one embodiment, the second transmission module 1501 is configured to send a first message to the first communication node.

[0314] In one embodiment, the first message is carried in any of the following: RRC signaling, MAC CE, UCI.

[0315] In one embodiment, the first message is further used to indicate that the prediction result can be used for subsequent operations.

[0316] The information transmission device provided in this embodiment is used to execute the information transmission method executed by the second communication node in any of the above embodiments. Its implementation principle and technical effect are similar to those in the above embodiments, and will not be repeated here.

[0317] This application also provides a communication node, including a processor configured to implement the method provided in any embodiment of this application when executing a computer program. Specifically, the communication node can be a first communication node or a second communication node. The first communication node includes a processor configured to implement the information transmission method provided in any embodiment of this application when executing a computer program; the second communication node includes a processor configured to implement the information transmission method provided in any embodiment of this application when executing a computer program. For example, the first communication node can be an access network device, such as a base station, provided in any embodiment of this application; the second communication node can be a terminal device, such as a UE, provided in any embodiment of this application. This application does not impose specific limitations in this regard.

[0318] Figure 16 is a schematic diagram of a first communication node provided in an embodiment. As shown in Figure 16, the first communication node includes a processor 60, a memory 61, and a communication interface 62. The number of processors 60 in the first communication node can be one or more; Figure 16 shows an example of one processor 60. The processor 60, memory 61, and communication interface 62 in the first communication node can be connected via a bus or other means; Figure 16 shows an example of connection via a bus. A bus represents one or more types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus structures.

[0319] The memory 61, as a computer-readable storage medium, can be configured to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the methods in the embodiments of this application. The processor 60 executes at least one functional application and data processing of the first communication node by running the software programs, instructions, and modules stored in the memory 61, thereby implementing the above-described method.

[0320] The memory 61 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the terminal. Furthermore, the memory 61 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 61 may include memory remotely located relative to the processor 60, and this remote memory may be connected to the first communication node via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, networks, mobile communication networks, and combinations thereof.

[0321] Communication interface 62 can be configured to receive and send data.

[0322] Figure 17 is a schematic diagram of a second communication node provided in one embodiment. As shown in Figure 17, the second communication node can be implemented in various forms. The second communication node in this application may include, but is not limited to, mobile terminal devices such as mobile phones, smartphones, laptops, digital broadcast receivers, personal digital assistants (PDAs), tablet computers (PADs), portable media players (PMPs), navigation devices, in-vehicle terminal devices, in-vehicle display terminals, in-vehicle electronic rearview mirrors, etc., as well as fixed terminal devices such as digital televisions (TVs), desktop computers, etc.

[0323] As shown in Figure 17, the second communication node 50 may include a wireless communication unit 51, an audio / video (A / V) input unit 52, a user input unit 53, a sensing unit 54, an output unit 55, a memory 56, an interface unit 57, a processor 58, and a power supply unit 59, etc. Figure 17 illustrates a second communication node comprising various components; however, it should be understood that it is not required to implement all of the components shown. More or fewer components may be implemented alternatively.

[0324] In this embodiment, the wireless communication unit 51 allows radio communication between the second communication node 50 and the first communication node or network. The A / V input unit 52 is configured to receive audio or video signals. The user input unit 53 can generate key input data to control various operations of the second communication node 50 based on user-input commands. The sensing unit 54 monitors the current state of the second communication node 50, the position of the second communication node 50, the presence or absence of user touch input to the second communication node 50, the orientation of the second communication node 50, the acceleration or deceleration of the second communication node 50, and its direction, etc., and generates commands or signals for controlling the operation of the second communication node 50. The interface unit 57 serves as an interface through which at least one external device can connect to the second communication node 50. The output unit 55 is configured to provide output signals in a visual, audio, and / or tactile manner. The memory 56 can store software programs, etc., that perform processing and control operations executed by the processor 58, or can temporarily store data that has been output or will be output. The memory 56 can include at least one type of storage medium. Moreover, the second communication node 50 can cooperate with a network storage device that performs the storage function of the memory 56 via a network connection. Processor 58 typically controls the overall operation of the second communication node 50. Power supply unit 59, under the control of processor 58, receives external or internal power and provides the appropriate power required to operate various components and assemblies.

[0325] The processor 58 executes at least one functional application and data processing by running a program stored in the memory 56, such as implementing the method provided in the embodiments of this application.

[0326] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods provided in any embodiment of this application.

[0327] The computer storage medium in this application embodiment can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. Computer-readable storage media include (a non-exhaustive list): electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this application, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0328] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, the data signals carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device.

[0329] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, radio frequency (RF), or any suitable combination thereof.

[0330] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the information transmission method provided in any embodiment of this application.

[0331] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination of programming languages, including object-oriented programming languages ​​(such as Java, Smalltalk, C++, Ruby, and Go) and conventional procedural programming languages ​​(such as the "C" language or similar programming languages). The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network (including a Local Area Network (LAN) or a Wide Area Network (WAN)), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0332] Those skilled in the art will understand that the term user terminal encompasses any suitable type of wireless user equipment, such as mobile phones, portable data processing devices, portable web browsers, or vehicle-mounted mobile stations.

[0333] Generally, the various embodiments of this application can be implemented in hardware or dedicated circuitry, software, logic, or any combination thereof. For example, some aspects can be implemented in hardware, while others can be implemented in firmware or software that can be executed by a controller, microprocessor, or other computing device, although this application is not limited thereto.

[0334] Embodiments of this application can be implemented by executing computer program instructions through the data processor of a mobile device, for example, in a processor entity, or through hardware, or through a combination of software and hardware. The computer program instructions can be assembly instructions, Instruction Set Architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages.

[0335] Any block diagram of logical flow in the accompanying drawings of this application may represent program steps, or may represent interconnected logic circuits, modules, and functions, or may represent a combination of program steps and logic circuits, modules, and functions. The computer program may be stored in memory. The memory may be of any type suitable to the local technical environment and may be implemented using any suitable data storage technology, such as, but not limited to, read-only memory (ROM), random access memory (RAM), optical storage devices and systems (Digital Multifunction Discs, DVDs, or CDs), etc. Computer-readable media may include non-transitory storage media. The data processor may be of any type suitable to the local technical environment, such as, but not limited to, general-purpose computers, special-purpose computers, microprocessors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), and processors based on multi-core processor architectures.

Claims

1. An information transmission method, applied to a first communication node, the method comprising: In response to determining that the prediction conditions are met, a first message is transmitted to the second communication node; wherein the first message is used to indicate that the prediction result is determined based on the actual measurement results of the second communication node; The system receives the actual measurement results and the prediction results sent by the second communication node; wherein the second communication node has a prediction function.

2. The method according to claim 1, further comprising: Receive the actual measurement results sent by the second communication node; wherein, the second communication node does not have a prediction function; The prediction result is determined based on the actual measurement results; wherein the first communication node has a prediction function.

3. The method according to claim 1 or 2, wherein, The actual measurement result is located in the observation window, the predicted result is located in the prediction window, and the prediction window is located after the observation window.

4. The method according to claim 3, wherein, The prediction conditions include at least one of the following: The change in the current channel state is less than the channel state change threshold; the current channel state is stable.

5. The method according to claim 3, wherein, The transmission of the first message with the second communication node includes: The first message is sent to the second communication node.

6. The method according to claim 5, wherein, The first message is a first instruction message; The first indication message is carried in any of the following: Radio Resource Control (RRC) signaling, Media Access Control (MAC) control element (CE), Downlink Control Information (DCI), or capability information of the second communication node.

7. The method according to claim 5, wherein, The first message is the length information of the prediction window; The length information of the prediction window is carried in any of the following: RRC signaling, MAC CE, DCI, and the capability information of the second communication node.

8. The method according to claim 7, wherein, The length information of the prediction window is the quotient of the length of the prediction window and the length of the observation window; The smaller the change in the current channel state, the larger the quotient; or, the more stable the current channel state, the larger the quotient.

9. The method according to claim 3, wherein, The transmission of the first message with the second communication node includes: Receive the first message sent by the second communication node.

10. The method according to claim 9, wherein, The first message is carried in any of the following: RRC signaling, MAC CE, or uplink control information UCI.

11. The method according to claim 3, wherein, The actual measurement results are beam-level measurement results and / or cell-level measurement results.

12. The method according to claim 1 or 2, wherein, The actual measurement result is the actual measurement result of the second communication node at the first frequency of the measurement cell, and the prediction result is the prediction result of the second frequency of the prediction cell between the first communication node or the second communication node; or, the actual measurement result is the actual measurement result of the second communication node at the first frequency of the measurement beam, and the prediction result is the prediction result of the second frequency of the prediction beam between the first communication node or the second communication node. The first frequency is different from the second frequency.

13. The method according to claim 12, wherein, The prediction conditions include at least one of the following: The correlation between the current channel and the predicted channel is greater than the channel correlation threshold, and the second communication node is within the range of motion; The current channel state is stable, and the second communication node is within the range of motion; Wherein, the current channel is the channel corresponding to the measurement cell at the first frequency, and the predicted channel is the channel corresponding to the predicted cell at the second frequency; or, the current channel is the channel corresponding to the measurement beam at the first frequency, and the predicted channel is the channel corresponding to the predicted beam at the second frequency.

14. The method according to claim 12, wherein, The transmission of the first message with the second communication node includes: The first message is sent to the second communication node.

15. The method according to claim 14, wherein, The first message is the second instruction message; The second indication message carries any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node.

16. The method of claim 14, wherein, The first message is the actual measurement period of the measurement sample; The actual measurement cycle of the measurement sample is carried out in any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node; The greater the correlation between the current channel and the predicted channel, and the longer the actual measurement period, if the second communication node is within the range of motion; or, the more stable the current channel state, and the longer the actual measurement period, if the second communication node is within the range of motion.

17. The method according to claim 12, wherein, The transmission of the first message with the second communication node includes: Receive the first message sent by the second communication node.

18. The method according to claim 17, wherein, The first message is carried in any of the following: RRC signaling, MAC CE, UCI.

19. The method according to claim 1 or 2, wherein, The actual measurement results are the measurement results of the cells in the measurement set, and the prediction results are the prediction results of the cells in the prediction set; or, The actual measurement result is the measurement result of the beam in the measurement set, and the prediction result is the prediction result of the beam in the prediction set.

20. The method according to claim 19, wherein, The prediction conditions include at least one of the following: The correlation between the current channel and the predicted channel is greater than the channel correlation threshold; the current channel state is stable. Wherein, the current channel is the channel corresponding to the cell in the measurement set, and the predicted channel is the channel corresponding to the cell in the prediction set; or, the current channel is the channel corresponding to the beam in the measurement set, and the predicted channel is the channel corresponding to the beam in the prediction set.

21. The method according to claim 19, wherein, The transmission of the first message with the second communication node includes: The first message is sent to the second communication node.

22. The method according to claim 21, wherein, The first message is the third instruction message; The third indication message carries any of the following: RRC signaling, MAC CE, DCI, or capability information of the second communication node.

23. The method according to claim 21, wherein, The first message is the actual measurement period of the measurement sample; The actual measurement cycle of the measurement sample is carried out in any of the following: RRC signaling, MAC CE, DCI, and capability information of the second communication node; The greater the correlation between the current channel and the predicted channel, the longer the actual measurement period; or, the more stable the current channel state, the longer the actual measurement period.

24. The method according to claim 19, wherein, The transmission of the first message with the second communication node includes: Receive the first message sent by the second communication node.

25. The method according to claim 24, wherein, The first message is carried in any of the following: RRC signaling, MAC CE, UCI.

26. The method according to claim 1 or 2, wherein, The first message is also used to indicate that the prediction result can be used for subsequent operations.

27. An information transmission method applied to a second communication node, the method comprising: In response to determining that the prediction conditions are met, a first message is transmitted to the first communication node; wherein the first message is used to indicate that the prediction result is determined based on the actual measurement results of the second communication node; The prediction result is determined based on the actual measurement results; wherein the second communication node has the prediction function. The actual measurement results and the prediction results are sent to the first communication node.

28. The method of claim 27, further comprising: The actual measurement result is sent to the first communication node; wherein the second communication node does not have a prediction function, while the first communication node has a prediction function.

29. A communication node, comprising: processor; The processor is configured to implement the information transmission method as described in any one of claims 1 to 26, or the information transmission method as described in any one of claims 27 to 28, when executing a computer program.

30. A computer-readable storage medium storing a computer program that, when executed by a processor, implements the information transmission method as described in any one of claims 1 to 26, or implements the information transmission method as described in any one of claims 27 to 28.

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